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NASA NTRS · 20170007350

CATS Version 2 Aerosol Feature Detection and Applications for Data Assimilation

Nowottnick, E. P.·Yorks, J. E.·Selmer, P. A.·Palm, S. P.·Hlavka, D. L.·Pauly, R. M.·Ozog, S.·McGill, M. J.·Da Silva, A.
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Abstract

The Cloud Aerosol Transport System (CATS) lidar has been operating onboard the International Space Station (ISS) since February 2015 and provides vertical observations of clouds and aerosols using total attenuated backscatter and depolarization measurements. From February March 2015, CATS operated in Mode 1, providing backscatter and depolarization measurements at 532 and 1064 nm. CATS began operation in Mode 2 in March 2015, providing backscatter and depolarization measurements at 1064 nm and has continued to operate to the present in this mode. CATS level 2 products are derived from these measurements, including feature detection, cloud aerosol discrimination, cloud and aerosol typing, and optical properties of cloud and aerosol layers. Here, we present changes to our level 2 algorithms, which were aimed at reducing several biases in our version 1 level 2 data products. These changes will be incorporated into our upcoming version 2 level 2 data release in summer 2017. Additionally, owing to the near real time (NRT) data downlinking capabilities of the ISS, CATS provides expedited NRT data products within 6 hours of observation time. This capability provides a unique opportunity for supporting field campaigns and for developing data assimilation techniques to improve simulated cloud and aerosol vertical distributions in models. We additionally present preliminary work toward assimilating CATS observations into the NASA Goddard Earth Observing System version 5 (GEOS-5) global atmospheric model and data assimilation system.

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Nowottnick, E. P., Yorks, J. E., Selmer, P. A., Palm, S. P., Hlavka, D. L., Pauly, R. M., Ozog, S., McGill, M. J., Da Silva, A.. 2017-06-15. CATS Version 2 Aerosol Feature Detection and Applications for Data Assimilation. https://ntrs.nasa.gov/citations/20170007350

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